Relating particle hygroscopicity and CCN activity to chemical composition during the HCCT-2010 field campaign

Wu, Zhijun; Poulain, Laurent; Henning, S.; Dieckmann, K.; Birmili, W.; Merkel, Maik; Pinxteren, Dominik van; Spindler, Gerald; Müller, Konrad; Stratmann, Frank; Herrmann, Hartmut; Wiedensohler, Alfred

doi:10.5194/acp-13-7983-2013

Cited by 123 publications

(155 citation statements)

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“…Assuming a chemical composition similar to the one given in Wu et al (2013) for the upwind station, with a mass fraction of 40 % organic material and 30 % each of ammonium nitrate and ammonium sulfate, we can model an observed κ of e.g. 0.40 (compare Table 2).…”

Section: Chemical In-cloud Processing Of the Particlesmentioning

confidence: 99%

Influence of cloud processing on CCN activation behaviour in the Thuringian Forest, Germany during HCCT-2010

et al. 2014

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Abstract. Within the framework of the "Hill Cap Cloud Thuringia 2010" (HCCT-2010) international cloud experiment, the influence of cloud processing on the activation properties of ambient aerosol particles was investigated. Particles were probed upwind and downwind of an orographic cap cloud on Mt Schmücke, which is part of a large mountain ridge in Thuringia, Germany. The activation properties of the particles were investigated by means of size-segregated cloud condensation nuclei (CCN) measurements at 3 to 4 different supersaturations. The observed CCN spectra together with the total particle spectra were used to calculate the hygroscopicity parameter κ for the upwind and downwind stations. The upwind and downwind critical diameters and κ values were then compared for defined cloud events (FCE) and noncloud events (NCE). Cloud processing was found to increase the hygroscopicity of the aerosol particles significantly, with an average increase in κ of 50 %. Mass spectrometry analysis and isotopic analysis of the particles suggest that the observed increase in the hygroscopicity of the cloud-processed particles is due to an enrichment of sulfate and possibly also nitrate in the particle phase.

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Section: Chemical In-cloud Processing Of the Particlesmentioning

confidence: 99%

Influence of cloud processing on CCN activation behaviour in the Thuringian Forest, Germany during HCCT-2010

et al. 2014

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“…8. In these previous studies (Wu et al, 2013;Jimenez et al, 2009;Rickards et al, 2013;Duplissy et al, 2011), the κ org values were derived from the measurements performed in the subsaturation regime. In Massoli et al's (2010) study (not shown in Fig.…”

Section: Closure Between Particle Hygroscopicity and Chemical Componentsmentioning

confidence: 99%

“…Therefore, coupled measurements of an AMS and the Hygroscopicity Tandem Differential Mobility Analyzer (H-TDMA) are able to capture highly variable changes in chemical particle composition and hygroscopicity in real time. Some studies have highlighted the advantage of using size-selected AMS information over size-averaged information from offline chemical characterization (Medina et al, 2007;Gunthe et al, 2009;Cerully et al, 2011;Wu et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…These works specially focused on parametrizing the empirical correlations between the atomic oxygen : carbon (O : C) ratio and organic hygroscopicity parameter (κ) derived from either hygroscopic growth factor (e.g., Wu et al, 2013;Rickards et al, 2013) or cloud condensation nuclei (CCN) activity (e.g., Mei et al, 2013;Wong et al, 2011;Lambe et al, 2011;Chang et al, 2010). Typically, a linear parametrization of the correlation between κ and O:C was presented.…”

Section: Introductionmentioning

confidence: 99%

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Particle hygroscopicity and its link to chemical composition in the urban atmosphere of Beijing, China, during summertime

et al. 2016

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Abstract. Simultaneous measurements of particle number size distribution, particle hygroscopic properties, and size-resolved chemical composition were made during the summer of 2014 in Beijing, China. During the measurement period, the mean hygroscopicity parameters (κs) of 50, 100, 150, 200, and 250 nm particles were respectively 0.16 ± 0.07, 0.19 ± 0.06, 0.22 ± 0.06, 0.26 ± 0.07, and 0.28 ± 0.10, showing an increasing trend with increasing particle size. Such size dependency of particle hygroscopicity was similar to that of the inorganic mass fraction in PM 1 . The hydrophilic mode (hygroscopic growth factor, HGF > 1.2) was more prominent in growth factor probability density distributions and its dominance of hydrophilic mode became more pronounced with increasing particle size. When PM 2.5 mass concentration was greater than 50 µg m −3 , the fractions of the hydrophilic mode for 150, 250, and 350 nm particles increased towards 1 as PM 2.5 mass concentration increased. This indicates that aged particles dominated during severe pollution periods in the atmosphere of Beijing. Particle hygroscopic growth can be well predicted using hightime-resolution size-resolved chemical composition derived from aerosol mass spectrometer (AMS) measurements using the Zdanovskii-Stokes-Robinson (ZSR) mixing rule. The organic hygroscopicity parameter (κ org ) showed a positive correlation with the oxygen to carbon ratio. During the new particle formation event associated with strongly active photochemistry, the hygroscopic growth factor or κ of newly formed particles is greater than for particles with the same sizes not during new particle formation (NPF) periods. A quick transformation from external mixture to internal mixture for pre-existing particles (for example, 250 nm particles) was observed. Such transformations may modify the state of the mixture of pre-existing particles and thus modify properties such as the light absorption coefficient and cloud condensation nuclei activation.

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“…A considerable fraction of this uncertainty arises from the highly uncertain knowledge of the vertical distribution of the aerosol particles in the atmosphere. As an example, Zarzycki and Bond (2010) found that small changes of the vertical BC distribution at cloud interfaces lead to a change in global radiative forcing by 5 to 10 %. Samset et al (2013) furthermore stated that at least 20 % of the uncertainty in radiative forcing due to the BC is caused by the diversity of the modeled BC particle mass vertical distribution.…”

Section: Introductionmentioning

confidence: 99%

Helicopter-borne observations of the continental background aerosol in combination with remote sensing and ground-based measurements

et al. 2018

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Abstract. This paper examines the representativeness of ground-based in situ measurements for the planetary boundary layer (PBL) and conducts a closure study between airborne in situ and ground-based lidar measurements up to an altitude of 2300 m. The related measurements were carried out in a field campaign within the framework of the HighDefinition Clouds and Precipitation for Advancing Climate Prediction (HD(CP) 2 ) Observational Prototype Experiment (HOPE) in September 2013 in a rural background area of central Europe.The helicopter-borne probe ACTOS (Airborne Cloud and Turbulence Observation System) provided measurements of the aerosol particle number size distribution (PNSD), the aerosol particle number concentration (PNC), the number concentration of cloud condensation nuclei (CCN-NC), and meteorological atmospheric parameters (e.g., temperature and relative humidity). These measurements were supported by the ground-based 3 + 2 wavelength polarization lidar system Polly XT , which provided profiles of the particle backscatter coefficient (σ bsc ) for three wavelengths (355, 532, and 1064 nm). Particle extinction coefficient (σ ext ) profiles were obtained by using a fixed backscatter-to-extinction ratio (also lidar ratio, LR). A new approach was used to determine profiles of CCN-NC for continental aerosol. The results of this new approach were consistent with the airborne in situ measurements within the uncertainties.In terms of representativeness, the PNSD measurements on the ground showed a good agreement with the measurements provided with ACTOS for lower altitudes. The ground-based measurements of PNC and CCN-NC are representative of the PBL when the PBL is well mixed. Locally isolated new particle formation events on the ground or at the top of the PBL led to vertical variability in the cases presented here and ground-based measurements are not entirely representative of the PBL.Based on Mie theory (Mie, 1908), optical aerosol properties under ambient conditions for different altitudes were determined using the airborne in situ measurements and were compared with the lidar measurements. The investigation of the optical properties shows that on average the airbornebased particle light backscatter coefficient is 50.1 % smaller for 1064 nm, 27.4 % smaller for 532 nm, and 29.5 % smaller for 355 nm than the measurements of the lidar system. These results are quite promising, since in situ measurement-based Mie calculations of the particle light backscattering are scarce and the modeling is quite challenging. In contrast, for the particle light extinction coefficient we found a good agreement. The airborne-based particle light extinction coefficient was just 8.2 % larger for 532 nm and 3 % smaller for 355 nm, for an assumed LR of 55 sr. The particle light extinction coefficient for 1064 nm was derived with a LR of 30 sr. For this wavelength, the airborne-based particle light extinction coefficient is 5.2 % smaller than the lidar measurements. For the first time, the lidar ratio of 30 sr for 1064 nm was det...

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Relating particle hygroscopicity and CCN activity to chemical composition during the HCCT-2010 field campaign

Cited by 123 publications

References 69 publications

Influence of cloud processing on CCN activation behaviour in the Thuringian Forest, Germany during HCCT-2010

Influence of cloud processing on CCN activation behaviour in the Thuringian Forest, Germany during HCCT-2010

Particle hygroscopicity and its link to chemical composition in the urban atmosphere of Beijing, China, during summertime

Helicopter-borne observations of the continental background aerosol in combination with remote sensing and ground-based measurements

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